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Insight in the structure of nanoparticle assemblies up to a single particle level is key to understand the collective properties of these assemblies, which critically depend on the individual particle positions and orientations. However,…

Integrated silicon photonic devices, which manipulate light to transmit and process information on a silicon-on-insulator chip, are highly sensitive to structural variations. Minor deviations during nanofabrication-the precise process of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Rambod Azimi , Yijian Kong , Dusan Gostimirovic , James J. Clark , Odile Liboiron-Ladouceur

Traditional image acquisition for cryo focused ion-beam scanning electron microscopy tomography often sees thousands of images being captured over a period of many hours, with immense data sets being produced. When imaging beam sensitive…

Focused ion beams (FIBs) are widely used in nanofabrication for applications such as circuit repair, ultra-thin lamella preparation, strain engineering, and quantum device prototyping. Although the lateral spread of the ion beam is often…

Instrumentation and Detectors · Physics 2025-11-04 M. G. Masteghin , Z. P. Aslam , A. P. Brown , M. J. Whiting , S. K. Clowes , R. P. Webb , D. C. Cox

Scanning Electron Microscopy (SEM) is a widely used tool for nanoparticle characterization, but long-term directional drift can compromise image quality. We present a novel algorithm for post-imaging drift correction in SEM nanoparticle…

In this article, a new scanning electron microscopy (SEM) image composition technique is described, which can significantly reduce drift related image corruptions. Drift-distortion commonly causes blur and distortions in the SEM images.…

Instrumentation and Detectors · Physics 2010-08-09 Petr Cizmar , Andras E. Vladar , Michael T. Postek

Cryo Focused Ion-Beam Scanning Electron Microscopy (cryo FIB-SEM) enables three-dimensional and nanoscale imaging of biological specimens via a slice and view mechanism. The FIB-SEM experiments are, however, limited by a slow (typically,…

In the field of integrated circuit manufacturing, the detection and classification of nanoscale wafer defects are critical for subsequent root cause analysis and yield enhancement. The complex background patterns observed in scanning…

Computer Vision and Pattern Recognition · Computer Science 2025-02-24 Qian Jin , Yuqi Jiang , Xudong Lu , Yumeng Liu , Yining Chen , Dawei Gao , Qi Sun , Cheng Zhuo

FIB/SEM tomography represents an indispensable tool for the characterization of three-dimensional nanostructures in battery research and many other fields. However, contrast and 3D classification/reconstruction problems occur in many cases,…

The alignment of serial-section electron microscopy (ssEM) images is critical for efforts in neuroscience that seek to reconstruct neuronal circuits. However, each ssEM plane contains densely packed structures that vary from one section to…

Computer Vision and Pattern Recognition · Computer Science 2017-12-06 Inwan Yoo , David G. C. Hildebrand , Willie F. Tobin , Wei-Chung Allen Lee , Won-Ki Jeong

In a focused ion beam (FIB) microscope, source particles interact with a small volume of a sample to generate secondary electrons that are detected, pixel by pixel, to produce a micrograph. Randomness of the number of incident particles…

Medical Physics · Physics 2023-08-15 Minxu Peng , John Murray-Bruce , Vivek K Goyal

Aberration corrected scanning transmission electron microscopes (STEM) enable to determine local strain fields, composition and bonding states at atomic resolution. The precision to locate atomic columns is often obstructed by scan…

Applied Physics · Physics 2019-01-16 Benjamin Berkels , Christian H. Liebscher

Reliable quantitative analysis in scanning (transmission) electron microscopy (S(T)EM) is often hindered by image drift during long-duration spectral mapping for elemental analysis or for various material functions. We here present…

Instrumentation and Detectors · Physics 2026-04-22 Zac Thollar , Kanto Maeda , Tetsuya Kubota , Taka-aki Yano , Qiwen Tan , Takumi Sannomiya

The detailed reconstruction of neural anatomy for connectomics studies requires a combination of resolution and large three-dimensional data capture provided by serial section electron microscopy (ssEM). The convergence of high throughput…

Computer Vision and Pattern Recognition · Computer Science 2017-11-21 Arthur W. Wetzel , Jennifer Bakal , Markus Dittrich , David G. C. Hildebrand , Josh L. Morgan , Jeff W. Lichtman

Hexagonal boron nitride (hBN) has emerged as a promising material platform for nanophotonics and quantum sensing, hosting optically-active defects with exceptional properties such as high brightness and large spectral tuning. However,…

Image registration is the inference of transformations relating noisy and distorted images. It is fundamental in computer vision, experimental physics, and medical imaging. Many algorithms and analyses exist for inferring shift, rotation,…

Data Analysis, Statistics and Probability · Physics 2019-02-21 Colin B. Clement , Matthew Bierbaum , James P. Sethna

Nanostructures have become an attractive subject due to many applications, particularly the photonic bandgap effect observed in photonic crystals. Nevertheless, the fabrication of such structures remains a challenge because of accurate…

Optics · Physics 2008-01-29 F. Lacour , A. Sabac , M. Spajer

The most established method of reconstructing neural circuits from animals involves slicing tissue very thin, then taking mosaics of electron microscope (EM) images. To trace neurons across different images and through different sections,…

Quantitative Methods · Quantitative Biology 2013-04-23 Louis K. Scheffer , Bill Karsh , Shiv Vitaladevun

Single-beam scanning electron microscopes (SEM) are widely used to acquire massive data sets for biomedical study, material analysis, and fabrication inspection. Datasets are typically acquired with uniform acquisition: applying the…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Lu Mi , Hao Wang , Yaron Meirovitch , Richard Schalek , Srinivas C. Turaga , Jeff W. Lichtman , Aravinthan D. T. Samuel , Nir Shavit

Three-dimensional volumetric imaging of cells allows for in situ visualization, thus preserving contextual insights into cellular processes. Despite recent advances in machine learning methods, morphological analysis of sub-nuclear…

Quantitative Methods · Quantitative Biology 2022-07-21 Niraj Gupta , Eric J. Roberts , Song Pang , C. Shan Xu , Harald F. Hess , Fan Wu , Abby Dernburg , Danielle Jorgens , Petrus H. Zwart , Vignesh Kasinath
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